Smart energy networks 2050: Modelling of energy and information fluxes, impact of user response on decarbonisation
The main purpose of this project is to conceptualize a decarbonized energy network by 2050, in a Northern Finland setting.
We intend to produce a planning and evaluation model for smart energy networks development.
We are developing a set of modelling and computational tools intended to support and strengthen the transition phase, the smartening of the system. We intend to achieve this by implementing a strategic approach based on two key elements:
- The bottom-up model approach indicates the central role of the energy consumer.
- The network of networks model, clusters of users are grouped in multi-layered hierarchically distributed microgrids sharing energy and information following predefined set of priorities and protocols.
Ultimately, we will to produce policy advising material that would support a sustainable transition to the envisioned system based on a central role of end-users by taking in consideration local resources and socio-economic conditions.
Smart grid infrastructure modelling: Smart buildings are detailed for setting possible scenarios for the future of the energy networks. Three layers will be assessed:
- Household level
- Densely populated urban environment
- Larger area including satellite settlement
Information and energy fluxes:Ascertaining the necessary information and at the timeframe in order to optimise the energy system
Optimisation for decarbonisation: Combining electricity and heat for reaching carbon neutral energy usage. Heat load scenarios and the influence of different population density areas and consumer distribution will be considered.
Economic lever for promoting emission reduction: The influence of the micro economic measures such as localized dynamic pricing driven for lowering carbon dioxide emissions from the use of energy in the residential sector.
Prototype testing: Prototype testing will be performed with the “Tulevaisuuden talot ja uusiutuva energia” project
Project coordinatorUniversity of Oulu
- Louis, Jean-Nicolas (2016) Dynamic environmental indicators for smart homes. Assessing the role of home energy management systems in achieving decarbonisation goals in the residential sector. Doctoral dissertation. University of Oulu, Acta Universitatis Ouluensis. Louis, Jean-Nicolas; Caló, Antonio; Leiviskä, Kauko; Pongrácz, Eva (2016) Modelling home electricity management for sustainability: the impact of response levels, technological deployment & occupancy. Energy & Building, Volume 119, p.218-232 doi:10.1016/j.enbuild.2016.03.012.
- Louis, Jean-Nicolas; Caló, Antonio; Leiviskä, Kauko; Pongrácz, Eva (2016) Life cycle impact assessment of Home Energy Management System for future energy sustainable home, Proceedings of the 2nd South East European Conference on Sustainable Development of Energy, Water, and Environment Systems, SDEWES.SEE2016-0222, 1-12.
- Louis, Jean-Nicolas (2016) Dynamic environmental indicators for smart homes. Assessing the role of home energy management systems in achieving decarbonisation goals in the residential sector. Doctoral dissertation. University of Oulu, Acta Universitatis Ouluensis.
- Pulkkinen, Jari Matti Mikael (2018) Demand Side Management potential of using electric heating in Finnish buildings – current and prospective technology. Master's thesis. University of Oulu, Faculty of Technology.
- Energy and Environmental Engineering Research Unit (coordinators)
- Control Engineering Research Unit (Faculty of Technology)
- Mika Ruusunen
- Kauko Leiviskä
- Urban Design team (Oulu School of Architecture)
- Leena Soudunsaari
- Helka-Liisa Hentilä